Applicability of tracking simulations for probabilistic assessment of floating debris collision in tsunami inundation flow

Kihara, Naoto; Kaida, Hideki

doi:10.1080/21664250.2019.1706221

Cited by 12 publications

(2 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The methodology proposed in this study was applied to a virtual coastal industrial site set on the northeastern coast of Japan where tsunami risk is high. In this study, tracking simulations of the tsunami-borne vehicle (4.5 m length, 2.0 m height and width, 2300 kg weight) are performed by a numerical model developed by our previous study (Kihara et al, 2019), considering the following epistemic uncertainties: drag coefficient, submersion time of the vehicle, roughness coefficient, and presence of the semiempirical bore model. Aleatory uncertainty due to the turbulence is also considered.…”

Section: Application Of the Proposed Methodlogymentioning

confidence: 99%

Fragility Evaluation Methodology for Tsunami-Borne Debris Impact

Kaida¹,

Kihara²

2020

Int. Conf. Coastal. Eng.

Self Cite

View full text Add to dashboard Cite

In the safe design and risk assessment of structures in coastal area, it is important to consider tsunami-borne debris impact. Recently, probabilistic analysis has become the preferred form of analysis because of the large aleatory and epistemic uncertainties associated with tsunami effects, which are not captured in deterministic scenario-based assessments. By performing both a probabilistic tsunami hazard assessment (PTHA) and a tsunami fragility assessment (TFA) on structures, their annual failure frequency can be determined. The TFA involves evaluation of the response (e.g. debris impact force exerted on the structure) and the capacity of the structure to resist tsunami effects. Then, a fragility curve shows conditional damage probability of the structure for the tsunami magnitude (e.g., discrete tsunami height around the focused area). This study proposes a TFA methodology for tsunami-borne debris impact, as this has not yet been sufficiently established. Evaluation of the impact speed and impact probability of debris considering various uncertainties in the response evaluation are described in particular detail. Moreover, an assessment of a coastal industrial site was performed and fragility curves and the annual failure frequency of structures against debris impact were shown.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/es-ny8eIUfc

show abstract

Section: Application Of the Proposed Methodlogymentioning

confidence: 99%

Fragility Evaluation Methodology for Tsunami-Borne Debris Impact

Kaida¹,

Kihara²

2020

Int. Conf. Coastal. Eng.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The effect of structural arrays on wave loading generally results in a reduction in the maximum wave loading in the inland buildings, owing to a sheltering effect given by the front buildings (Simamora et al 2007;Ardianti et al 2015;Thomas et al 2015;Tomiczek et al 2016;Yang et al 2018;Sogut et al 2019;Moris et al 2021). Although studies about the influence of obstacles on debris dispersion have considered arrays composed of one (Kihara and Kaida 2020;Park et al 2021) or two rows of obstacles (Goseberg et al 2016), the effect of structural arrays on debris loading is not known. Field survey data show that sheltering and debris are explanatory variables for damage from inundation events (Reese et al 2011); however, debris loading predictions in sheltered buildings, up to this date, do not, so far as we know, exist.…”

Section: Debris Loading On Building Arraysmentioning

confidence: 99%

Wave–Current Impulsive Debris Loading on a Coastal Building Array

Moris

Burke

Kennedy

et al. 2023

J. Waterway, Port, Coastal, Ocean Eng.

View full text Add to dashboard Cite

Waterborne debris impacts during inundation events are a widely observed threat to structures in coastal communities. This study investigates the probability of impact and magnitude of wave-current (N = 1,170) and current-only (N = 156) debris events on exposed and sheltered buildings within a 10 × 10 building array, using laboratory measurements of structural loading response, flow hydrodynamics, and video recordings of flow transport and impact. A methodology based on a structural system with a single degree of freedom is implemented to estimate the applied debris impulse from collisions and to investigate the dynamic impact of waterborne debris on structures. Results show that the debris collision probability varies greatly, between 42% for unsheltered rows and 2% for nine rows of sheltering. Given a collision, the normalized debris impulse in sheltered buildings is at maximum 0.8 times the impulse for unsheltered conditions, and this reduction increases as the number of sheltering rows increases. Using empirical exceedance probabilities of the applied debris impulse, a framework is developed to estimate the maximum structural loading response within a building array, along with a comparison with data and existing standards. The effect of the impact duration on the relation between the applied debris impulse and the maximum structural response is also discussed.

show abstract